NDLI: An AQM scheme based on Adaptive Weight Cascaded PID controller

Content Provider	IEEE Xplore Digital Library
Author	Fei Du Jinsheng Sun
Copyright Year	2012
Description	Author affiliation: School of Automation, Nanjing University of Science and Technology, China (Fei Du; Jinsheng Sun)
Abstract	In this paper we propose a new Active Queue Management (AQM) scheme based on Adaptive Weight Cascaded PID controller (AWCPID). The inputs of the outer and inner loop PID are queue length error, difference between packets arrival rate and export link capacity respectively. The ratio of outputs of the two PID controllers are dynamically adapted according to the magnitude of their inputs. An adaptive reference packets arrival rate, which is adapted based on network condition, is defined to give the controller more adaptivity. Simulations show that AWCPID can make queue lengths to converge quickly to the target and is effective in a wild range of network conditions. Its advantage over Single Neuron PID is also demonstrated extensively.
Starting Page	2849
Ending Page	2854
File Size	393347
Page Count	6
File Format	PDF
ISBN	9781467313971
e-ISBN	9781467313988
DOI	10.1109/WCICA.2012.6358356
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Automation Educational institutions Intelligent control Adaptation models Adaptive control Cascade PID network congestion control active queue management adaptive control
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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